Senior Data

h3Who/What is Artefact? /h3pArtefact is a next-generation strategy and data consulting firm dedicated to transformingorganizations through data and AI. We combine the rigor of top-tier strategy consultingwith deep expertise in data, digital, and analytics to help clients achieve tangible business impact. With 1,800+ consultants, data scientists, and engineers across 23 countries, we workwith global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Zurich office isat the heart of Artefact’s growth, advising clients on their most pressing strategicchallenges — from AI strategy and governance to digital transformation roadmaps andnew business model design. /ph3The role: /h3pWe are looking for a Senior Data AI Architect who combines business strategy and technology across Data and GenAI. You will design the operating model and the organization of the Data GenAI CoE, define the target architecture, and steer data products from demand through to rollout. /ph3Key

responsibilities:
/h3pOperating model and organization /ppDesign the Data AI operating model (centralized, federated, hub-and-spoke) following Data Mesh principles: roles, responsibilities, domain ownership and governance mechanisms. /ppDefine the organization of the Data GenAI CoE: scope, service catalogue, skills, sizing and engagement model with business domains. /ppDesign end-to-end processes for demand management, use case prioritization, funding and value tracking. /ppArchitecture and technology choices /ppDefine the target data platform architecture on cloud (Azure, AWS, GCP) and Databricks, including GenAI components (RAG, agents, vector stores, LLMOps). /ppRun make-or-buy analyses and vendor selections: scouting, evaluation criteria, business case, TCO and final recommendation. /ppCheck that architecture, security and data governance choices are consistent with enterprise standards and with the operating model. /ppData products: from demand to rollout /ppGather and formalize functional requirements with the business, translating them into data products with owners, consumers, SLAs and quality metrics. /ppDesign data products from both a functional angle (use cases, KPIs, impacted processes) and a technical one (data model, pipelines, interfaces, serving layer). /ppAct as design authority during implementation: review system integrator solutions and oversee quality, progress and risks of the rollout. /ph3Requirements: /h3pAt least 4 years of professional experience in IT. /ppAt least 2 years on projects focused on AI/GenAI, Data Mesh and functional requirements gathering. /ppConsulting experience, ideally in strategy consulting, combined with experience at a system integrator or delivery firm. /ppHands-on experience designing operating models, Data/AI organizations or CoEs. /ppExperience with make-or-buy analyses, vendor selection or target architecture definition. /ppExcellent written and spoken English. /ppTechnical and functional

skills:
/ppYou will not be expected to write code, but you need to know the technologies well enough to assess them, challenge vendors and spot a flawed setup. /ppData Mesh and governance: domain ownership, data products, federated governance, data contracts, catalogues and lineage (e.g. Unity Catalog, OpenMetadata, Collibra). /ppCloud: data and AI PaaS services on at least one of Azure, AWS and GCP; security, networking and FinOps principles. /ppDatabricks: Lakehouse, Delta Lake, Unity Catalog, Workflows; ability to assess design and cost. /ppGenAI: RAG and agentic architectures, LLMOps, model evaluation, platforms such as Azure AI Foundry, Vertex AI and Bedrock. /ppOperating model: Data/AI organization, CoE, roles (data owner, data steward, product owner), demand and portfolio processes. /ppRequirements and delivery: requirements gathering, user stories, process modelling, agile methods, programme governance. /ppBusiness: business cases, TCO, value tracking, and the ability to translate technical choices into economic impact. /ph3Nice to have: /h3pGerman not strictly required. /ppExperience with clients in pharma sector. /ppCloud or Databricks certifications (e.g. Azure Solutions Architect, Databricks Data Engineer or Solutions Architect). /ppExperience in tech due diligence or post-merger transformation projects. /ppPrior technical background as an engineer or developer. /ph3What

we offer
/h3pA role bridging strategy and technology, with direct impact on client decisions. /ppInternational projects on Data Mesh, data platforms and GenAI. /ppClose collaboration with the Project Lead and a growth path towards programme leadership roles. /ppLocation and working model: (Hybrid) Zurich or Lausanne. /pulliHighly competitive compensation package /li /ulpThis position is based in bZürich /b. /ppDon’t worry if you don’t meet all the criteria We value motivation, pragmatic problem-solving, and potential above all else. We’d love to hear from you and learn more about your passion for driving the AI revolution. /p